import numpy as np
import cv2


face_cascade = cv2.CascadeClassifier('haarcascade_frontalface_default.xml')
vc = cv2.VideoCapture(0)

while True:
    ret, frame = vc.read()

    # frame = cv2.cvtColor(frame, cv2.COLOR_BGR2RGB)

    faces = face_cascade.detectMultiScale(frame, 1.3, 5)

    for (x,y,w,h) in faces:
        cv2.rectangle(frame, (x, y), (x + w, y + h), (255, 255, 255))
    
    cv2.imshow('face_detect', frame)
    if cv2.waitKey(10) != -1:
        break